| Ghostwriter: Using an lstm for automatic rap lyric generation P Potash, A Romanov, A Rumshisky Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 150 | 2015 |
| Here's my point: Joint pointer architecture for argument mining P Potash, A Romanov, A Rumshisky arXiv preprint arXiv:1612.08994, 2016 | 87 | 2016 |
| Semeval-2017 task 6:# hashtagwars: Learning a sense of humor P Potash, A Romanov, A Rumshisky Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 86 | 2017 |
| Operationalizing the legal principle of data minimization for personalization AJ Biega, P Potash, H Daumé, F Diaz, M Finck Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 64 | 2020 |
| Towards debate automation: a recurrent model for predicting debate winners P Potash, A Rumshisky Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 33 | 2017 |
| Twitterhawk: A feature bucket based approach to sentiment analysis W Boag, P Potash, A Rumshisky Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 24 | 2015 |
| Length, interchangeability, and external knowledge: Observations from predicting argument convincingness P Potash, R Bhattacharya, A Rumshisky Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 17 | 2017 |
| Combining network and language indicators for tracking conflict intensity A Rumshisky, M Gronas, P Potash, M Dubov, A Romanov, S Kulshreshtha, ... Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK …, 2017 | 16 | 2017 |
| Ranking passages for argument convincingness P Potash, A Ferguson, TJ Hazen Proceedings of the 6th Workshop on Argument Mining, 146-155, 2019 | 15 | 2019 |
| Evaluating creative language generation: The case of rap lyric ghostwriting P Potash, A Romanov, A Rumshisky arXiv preprint arXiv:1612.03205, 2016 | 11 | 2016 |
| # hashtagwars: Learning a sense of humor P Potash, A Romanov, A Rumshisky arXiv preprint arXiv:1612.03216, 2016 | 9 | 2016 |
| Simihawk at semeval-2016 task 1: A deep ensemble system for semantic textual similarity P Potash, W Boag, A Romanov, V Ramanishka, A Rumshisky Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 9 | 2016 |
| Using topic modeling and text embeddings to predict deleted tweets PJ Potash, EB Bell, JJ Harrison Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2016 | 8 | 2016 |
| Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. P Potash, A Rumshisky EMPIRE@ RecSys, 60-66, 2016 | 5 | 2016 |
| Here's My Point: Argumentation Mining with Pointer Networks P Potash, A Romanov, A Rumshisky | 4 | 2016 |
| Prompt Discriminative Language Models for Domain Adaptation K Lu, P Potash, X Lin, Y Sun, Z Qian, Z Yuan, T Naumann, T Cai, J Lu Proceedings of the 5th Clinical Natural Language Processing Workshop, 247-258, 2023 | 3 | 2023 |
| Tracking bias in news sources using social media: The Russia-Ukraine maidan crisis of 2013–2014 P Potash, A Romanov, M Gronas, A Rumshisky Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets …, 2017 | 3 | 2017 |
| Predictive model for ranking argument convincingness of text passages P Potash, TJ Hazen US Patent App. 16/785,359, 2021 | 2 | 2021 |
| Playing log (n)-questions over sentences P Potash, K Suleman arXiv preprint arXiv:1908.04660, 2019 | 2 | 2019 |
| Training a Model in a Data-Scarce Environment Using Added Parameter Information PJ Potash US Patent App. 17/321,161, 2022 | 1 | 2022 |
